公开(公告)号：EP1166141A2

公开(公告)日：2002-01-02

申请号：EP00930072.4

申请日：2000-02-01

申请人： THE CHARLES STARK DRAPER LABORATORY, INC.

发明人： DOWDLE, John, R. ,  GUSTAFSON, Donald, E. ,  ELWELL, John, M., Jr.

IPC分类号： G01S1/00

CPC分类号： G01S19/47 ,  G01C21/165 ,  G01S11/02 ,  G01S19/21 ,  G01S19/30 ,  G01S19/37

摘要： A system and method for generating a multidimensional navigation solution utilizes Global Positioning System (GPS) data to obtain highly reliable and accurate navigational solutions in high interference and dynamic environments, at a performance level which has been heretofore unattainable. Additional sensors such as inertial (gyros and accelerometers), altimeters, radars, etc. may be employed in a deeply integrated configuration. The approach taken in the present invention differs from that of previous techniques through its exploitation of nonlinear filtering methods; as a result, the navigation system architecture and processes employed yield significant improvements in navigation system performance, both in code tracking and reacquisition, and in carrier tracking and reacquisition. The improvements are particularly significant at low signal/noise ratios, where conventional approaches are especially susceptible to loss of code lock or carrier lock.

摘要翻译： 用于生成多维导航解决方案的系统和方法利用全球定位系统（GPS）数据在高干扰和动态环境中以迄今为止无法实现的性能水平获得高度可靠和精确的导航解决方案。 诸如惯性（陀螺仪和加速度计），高度计，雷达等附加传感器可以用于深度集成配置。 本发明采用的方法通过利用非线性滤波方法而不同于先前的技术; 因此，所采用的导航系统架构和流程在导航系统性能方面产生了重大改进，包括代码跟踪和重新获取以及运营商跟踪和重新获取。 在信噪比较低的情况下，这些改进尤其显着，传统方法尤其容易丢失密码锁或载波锁。

公开(公告)号：EP1856550A1

公开(公告)日：2007-11-21

申请号：EP06748164.8

申请日：2006-01-19

申请人： THE CHARLES STARK DRAPER LABORATORY, INC.

发明人： ELWELL, John, M., Jr. ,  GUSTAFSON, Donald, E. ,  DOWDLE, John, R.

IPC分类号： G01S5/02

CPC分类号： G01C21/206 ,  G01S5/0252 ,  G01S5/0273 ,  G01S19/428

摘要： A signal processing technique for RF active, passive, or aided localization approaches that utilizes multipath signals as additional measurements with a filter or estimator, e.g., a nonlinear filter. The filter uses indirect and direct path measurements or any other available signals to build parametric models of observable indirect paths. If one or more direct path measurements are subsequently lost (e.g., due to obstruction), the filter maintains an estimate of the position of the person or object of interest using indirect path measurements.